Color-Based Iris Verification

  • Emine Krichen
  • Mohamed Chenafa
  • Sonia Garcia-Salicetti
  • Bernadette Dorizzi
Conference paper

DOI: 10.1007/978-3-540-74549-5_104

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4642)
Cite this paper as:
Krichen E., Chenafa M., Garcia-Salicetti S., Dorizzi B. (2007) Color-Based Iris Verification. In: Lee SW., Li S.Z. (eds) Advances in Biometrics. ICB 2007. Lecture Notes in Computer Science, vol 4642. Springer, Berlin, Heidelberg

Abstract

In this paper we propose a novel iris recognition method for iris images acquired under normal light illumination. We exploit the color information as we compare the distributions of common colors between a reference image and a test image using a modified Hausdorff distance. Tests have been made on the UBIRIS public database and on the IRIS_INT database acquired by our team. Comparisons with two iris reference systems in controlled scenario show a significant improvement when using color information instead of texture information. On uncontrolled scenarios, we propose a quality measure on colors in order to select good images from bad ones in the comparison process.

Keywords

Iris recognition Hausdorff distance quality measure Gaussian Mixture Models 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Emine Krichen
    • 1
  • Mohamed Chenafa
    • 1
  • Sonia Garcia-Salicetti
    • 1
  • Bernadette Dorizzi
    • 1
  1. 1.Institut National des Télécommunications, 9 Rue Charles Fourier 91160 EvryFrance

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